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To explore the influence of topographic factors on the diversity and spatial distribution of plant species around FAST (Five-hundred-meter Aperture Spherical radio Telescope), three typical plant communities (tree layer, shrub layer, vine layer) in the karst peak-cluster depression around FAST were selected as the study objects, and ANOVA and canonical correspondence analysis (CCA) were used to investigate the species diversity and spatial distribution of plant communities under different topographic factors (altitude, slope, aspect, and gradient). The results were as follows: (1) The α-diversity index of plant communities around FAST showed a trend of shrub layer > tree layer > vine layer, and the α-diversity index of plants in the tree layer and vine layer increased with the increase of altitude (P

Objective To investigate the expression of COL6A1 in sarcoma tissue and its significance based on bioinformatics analysis. Methods The GEO database was used to download the GSE16088, GSE21122, and GSE49972 datasets to analyze the expression level of COL6A1-3. The Kaplan-Meier survival curves were used to analyze the impact of the expression level of COL6A1-3 on the prognosis of patients with sarcoma. A Spearman correlation analysis was performed using GSVA package to investigate the correlation between the expression level of COL6A1 and immune cell infiltration. The LinkedOmics database was used to analyze the genes co-expressed with COL6A1, and the ggstatsplot package of R software was used to investigate the correlation between COL6A1 and COL6A2. The ClusterProfiler package of R software was used to perform GO functional enrichment analysis and KEGG pathway analysis of the genes co-expressed with COL6A1. The GSEA analysis was used to investigate the important kinase, miRNA, and transcription factor targets of the genes co-expressed with COL6A1. Results Compared with normal tissue, there was a significant increase in the expression level of COL6A1 in osteosarcoma, soft tissue sarcoma, and clear cell sarcoma of the kidney. The survival analysis showed that the high expression of COL6A1 was associated with low overall survival rate and di-sease-specific survival rate (χ2=6.37,4.57,P